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Miguel Ángel González Ballester

Researcher at Pompeu Fabra University

Publications -  218
Citations -  4320

Miguel Ángel González Ballester is an academic researcher from Pompeu Fabra University. The author has contributed to research in topics: Computer science & Segmentation. The author has an hindex of 25, co-authored 194 publications receiving 2913 citations. Previous affiliations of Miguel Ángel González Ballester include T-Systems & Catalan Institution for Research and Advanced Studies.

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Journal ArticleDOI

Patch spaces and fusion strategies in patch-based label fusion.

TL;DR: The patch-based label fusion framework is revisited and extended, exploring the role of extracting appearance and label information from the native space of both atlases and target images, thus avoiding interpolation artifacts, and results indicate that using atlas patches in their native space yields superior performance than warping the atlased to the target image.

Automated Analysis of Basal Ganglia Intensity Distribution in Multisequence MRI of the Brain - Application to Creutzfeldt-Jakob Disease

TL;DR: Using normalised measures of the intensity relations between the internal grey nuclei of patients, this work robustly differentiate sporadic CJD and new-variant CJD patients, as a first attempt towards an automatic classification tool of human spongiform encephalopathies.
Book ChapterDOI

Revealing Regional Associations of Cortical Folding Alterations with In Utero Ventricular Dilation Using Joint Spectral Embedding.

TL;DR: A novel method to identify spatially fine-scaled association maps between cortical development and VM by leveraging vertex-wise correlations between the growth patterns of both ventricular and cortical surfaces in terms of area expansion and curvature information is developed.
Proceedings ArticleDOI

Multi-scale immunological and biomechanical model of emphysema progression

TL;DR: A multi-scale agent-based model of emphysema progression that includes both the slow action of the immune system and the fast action of force redistribution and fracture propagation of the biological tissue is presented.
Book ChapterDOI

Kalman Filtering for Frame-by-Frame CT to Ultrasound Rigid Registration

TL;DR: In this article, a linear Kalman filter based algorithm is compared to an unscented KF based method in simulated and experimental scenarios, yielding an effectively real-time method for rigid registration applications, circumventing surgeons' waiting times.